Jane Calvert

3.9k citations
110 papers · 2.9k · h-index 31

Impact in

Papers in

    • Gene Regulatory Network Analysis 25
    • CRISPR and Genetic Engineering 17
    • Glycosylation and Glycoproteins Research 8
    • T-cell and B-cell Immunology 6

Jane Calvert

100 papers receiving 2.6k citations

Peers

Jane Calvert
Comparison fields: 5 of 181
  • Information Systems and Management 224
  • Management of Technology and Innovation 198
  • History and Philosophy of Science 98
  • Business and International Management 29
  • Molecular Biology 899
Replace Alberto Cambrosio with:
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Jane Calvert relative to Alberto Cambrosio Canada Alberto Cambrosio's profile →
Citations per field
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Alberto Cambrosio · 1×
Citations per year

Countries citing papers authored by Jane Calvert

Since Specialization
Citations

This map shows the geographic impact of Jane Calvert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jane Calvert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Calvert more than expected).

Fields of papers citing papers by Jane Calvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Calvert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jane Calvert. The network helps show where Jane Calvert may publish in the future.

Co-authors

The 25 scholars most cited alongside Jane Calvert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Calvert Line = papers co-authored together Jane Calvert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001178
2 2007151
3 2006142
4 1985124
5 2015116
6 2009108
7 200386
8 201480
9 201476
10 201676
11 201275
12 200875
13 201771
14 200368
15 201065
16 199764
17 199662
18 201061
19
Disciplinary baptisms: a comparison of the naming stories of genetics, molecular biology, genomics, and systems biology.
200754
20 201151

About Jane Calvert

Jane Calvert is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Management of Technology and Innovation, having authored 110 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (25 papers), CRISPR and Genetic Engineering (17 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (8 papers), Biomedical and Engineering Education (8 papers), T-cell and B-cell Immunology (6 papers), Intellectual Property and Patents (6 papers) and Interdisciplinary Research and Collaboration (6 papers). The work is most often cited by research in Information Systems and Management (224 citations), Management of Technology and Innovation (198 citations), History and Philosophy of Science (98 citations), Business and International Management (29 citations) and Molecular Biology (899 citations). Jane Calvert has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul Martin, Pablo Schyfter, Maureen A. O’Malley, Emma Frow, C.I. Baldwin, Alexander M. Powell, Paraskumar Patel, Stephen Bourke, Claire Marris and Desa Lilić. Their work appears in journals such as Clinical & Experimental Immunology, New Genetics and Society, BioSocieties, Science & Technology Studies and EMBO Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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